Fuzzy rough set

In this paper, we use the variable precision method on approximate operators of the FRS model to expand measures to effectively evaluate attributes on noisy datasets. The main contributions of this paper include: Proposing new approximation operations to extend VPFRS to VPOFRS; proposing some measures based on VPOFRS to evaluate the consistency degree of the decision table and the dependence degree of the attribute.

15p dianmotminh02 03-05-2024 2 1   Download

Continued part 1, part 2 of ebook "Search methodologies: Introductory tutorials in optimization and decision support techniques" provides readers with contents including: very large-scale neighborhood search; constraint programming; multi-objective optimization; sharpened and focused no free lunch and complexity theory; machine learning; fuzzy reasoning; rough-set-based decision support; hyper-heuristics; approximations and randomization; fitness landscapes;...

371p thamnhuocgiai 24-09-2023 6 5   Download

In this paper, we build an incremental algorithm to find the approximate reduct according to the combined filter-wrapper approach. Experimental results on a number of sample datasets show that the proposed incremental algorithm is more efficient than some other incremental algorithms following the filter approach in terms of the number of reductive set attributes and classification accuracy.

8p vineville 08-02-2023 6 2   Download

The proposed approach allows the representation, handling and utilisation of different levels of uncertainty in knowledge. This allows transformation-based fuzzy rule interpolation techniques to model and harness additional uncertain information in order to implement an effective fuzzy interpolative reasoning system.

17p guernsey 28-12-2021 14 0   Download

The objective of the thesis: Proposes filter-wrapper algorithms for fuzzy rough set based attribute reduction in decision tables to reduce the cardinality of reduct and increase significantly the classification accuracy.

28p extraenglish 24-05-2021 12 3   Download

The first is the hybrid filterwrapper algorithm proposal for finding the reduction set of the decision table using advanced fuzzy distance measurements and other measurements basing on fuzzy rough set to minimize2 the number of attributes of reduction set. Reduce and improve the accuracy of the classification model.

26p capheviahe27 23-02-2021 25 3   Download

The paper depicts complete study about the second method with some proposed algorithms. It focuses mainly on binary classification with kNN and SVM for imbalanced data. Experiments and comparisons among related methods will confirm pros and coin of each method with respect to performance accuracy and time consumption.

20p viguam2711 11-01-2021 10 2   Download

The paper aims to improve the multi-label classification performance using the feature reduction technique. According to the determination of the dependency among features based on fuzzy rough relation, features with the highest dependency score will be retained in the reduction set.

8p tamynhan4 06-09-2020 4 1   Download

In this paper, we propose a fuzzy distance based attribute reduction method on the decision table with numerical attribute value domain. Experiments on data sets show that the proposed method is more efficient than the ones based on Shannon’s entropy on the executed time and the classification accuracy of reduct.

9p vitomato2711 11-03-2020 23 0   Download

In addition to traditional exploiting information methods, researchers have developed attribute reduction methods to reduce the size of the data space and eliminate irrelevant attributes. Our attribute reduction is based on the dependence between attributes in traditional rough set theory and in fuzzy rough set. The author built the tool which is inclusion degree and tolerance-based contingency table to solve the problem of finding the approximation set on set-valued information systems.

7p mangamanga 29-02-2020 25 0   Download

The study will further discuss the novel real-world-semantics-based approach (RWSapproach) to the interpretability of fuzzy systems proposed in [8] to show that the RWS-interpretability of fuzzy systems in this approach is very essential and practical. It is also analyzed that the usual theories as in mathematics and physics are all RWS-interpretable or, roughly speaking, they are able to model their real-world parts, properly.

21p thuyliebe 05-10-2018 26 0   Download

Approximation of a picture fuzzy set on a crisp approximation space gives a rough picture fuzzy set. In this paper, the concept of a rough picture set is introduced, besides we also investigate some topological structures of a rough picture fuzzy set are investigated, such are lower and upper rough picture fuzzy approximation operators.

9p dieutringuyen 07-06-2017 57 3   Download

Evolution of global technologies has prompted increasing complexity of applications developed in both, the industry and the scientific research fields. These complexities are generally attributed to nonlinearities, poorly defined dynamics and absence of apriori information about the systems. Imprecision, uncertainties and vagueness in information about the system are also playing vital roles in enhancing the complexity of application.

518p wqwqwqwqwq 06-07-2012 137 48   Download